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Nyquist Sampling Conditions of Some Diffraction Algorithms with Adjustable Magnification

Diffraction algorithms with adjustable magnification are dominant in holographic projection and imaging. However, the algorithms are limited by the Nyquist sampling conditions, and simulation results with inappropriate parameters sometimes appear with aliasing. At present, many diffraction algorithm...

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Detalles Bibliográficos
Autores principales: Wang, Chunzheng, Ma, Jianshe, Cai, Chao, Su, Ping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9918949/
https://www.ncbi.nlm.nih.gov/pubmed/36772698
http://dx.doi.org/10.3390/s23031662
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author Wang, Chunzheng
Ma, Jianshe
Cai, Chao
Su, Ping
author_facet Wang, Chunzheng
Ma, Jianshe
Cai, Chao
Su, Ping
author_sort Wang, Chunzheng
collection PubMed
description Diffraction algorithms with adjustable magnification are dominant in holographic projection and imaging. However, the algorithms are limited by the Nyquist sampling conditions, and simulation results with inappropriate parameters sometimes appear with aliasing. At present, many diffraction algorithms have been proposed and improved, but there is a need for an overall analysis of their sampling conditions. In this paper, some classical diffraction algorithms with adjustable magnification are summarized, and their sampling conditions in the case of plane wave or spherical wave illumination are analyzed and compared, which helps to select the appropriate diffraction algorithm according to the specific parameter conditions of the simulation to avoid aliasing.
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spelling pubmed-99189492023-02-12 Nyquist Sampling Conditions of Some Diffraction Algorithms with Adjustable Magnification Wang, Chunzheng Ma, Jianshe Cai, Chao Su, Ping Sensors (Basel) Article Diffraction algorithms with adjustable magnification are dominant in holographic projection and imaging. However, the algorithms are limited by the Nyquist sampling conditions, and simulation results with inappropriate parameters sometimes appear with aliasing. At present, many diffraction algorithms have been proposed and improved, but there is a need for an overall analysis of their sampling conditions. In this paper, some classical diffraction algorithms with adjustable magnification are summarized, and their sampling conditions in the case of plane wave or spherical wave illumination are analyzed and compared, which helps to select the appropriate diffraction algorithm according to the specific parameter conditions of the simulation to avoid aliasing. MDPI 2023-02-02 /pmc/articles/PMC9918949/ /pubmed/36772698 http://dx.doi.org/10.3390/s23031662 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Chunzheng
Ma, Jianshe
Cai, Chao
Su, Ping
Nyquist Sampling Conditions of Some Diffraction Algorithms with Adjustable Magnification
title Nyquist Sampling Conditions of Some Diffraction Algorithms with Adjustable Magnification
title_full Nyquist Sampling Conditions of Some Diffraction Algorithms with Adjustable Magnification
title_fullStr Nyquist Sampling Conditions of Some Diffraction Algorithms with Adjustable Magnification
title_full_unstemmed Nyquist Sampling Conditions of Some Diffraction Algorithms with Adjustable Magnification
title_short Nyquist Sampling Conditions of Some Diffraction Algorithms with Adjustable Magnification
title_sort nyquist sampling conditions of some diffraction algorithms with adjustable magnification
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9918949/
https://www.ncbi.nlm.nih.gov/pubmed/36772698
http://dx.doi.org/10.3390/s23031662
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